Computer Science
Issues in Computer Science
Issues in Computer Science refer to the challenges and problems that arise in the development, implementation, and use of computer systems and software. These issues can range from technical problems such as software bugs and hardware failures to ethical and social concerns such as privacy, security, and the impact of technology on society.
Written by Perlego with AI-assistance
Related key terms
1 of 5
3 Key excerpts on "Issues in Computer Science"
eBook - PDF- G.Michael Schneider, Judith Gersting(Authors)
- 2018(Publication Date)
- Cengage Learning EMEA(Publisher)
For example, you have read about the mathematics of algorithmic efficiency (Chapter 3), the hardware implementation of computer systems (Chapters 4 and 5), computer networks (Chapter 7), and software development (Chapters 9 and 10). However, in this chapter, we focus on the human issues lurking behind these technical details. We can’t provide a comprehensive list of such issues; such a list would be way too long, and it is growing daily. Instead, we introduce skills that will help you to think and reason carefully when mak-ing personal decisions about computing. This chapter also discusses impor-tant societal issues related to information technology and personal privacy and points you toward resources to help you explore these issues in greater detail. Making critical decisions about computing technology is unavoid-able. Increasingly, our society is being driven by the access to and control of Copyright 2019 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s). Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it. 793 information. As citizens of our communities, our country, and the world, we want our decisions to be well informed and well reasoned. Whenever humans make decisions about things they value, there are con-flicts and trade-offs. The field of ethics , the study of moral philosophy, has a long history of looking at how to identify and resolve such conflicts, and we will borrow from several classical theories of ethics. In this chapter, we pres-ent a number of case studies built around complex ethical issues related to computing and information.
- Luciano Floridi(Author)
- 2008(Publication Date)
- Wiley-Blackwell(Publisher)
Setting aside what is the best account of computer ethics, it should be clear that a major concern of the field is to understand its domain, its methodology, its reason for being, and its relationship to other areas of ethical inquiry. As computer technology evolves and gets deployed in new ways, more and more ethical issues are likely to arise. 3 Traditional and Emerging Issues “Information society” is the term often used (especially by economists and sociologists) to characterize societies in which human activity and social institutions have been significantly transformed by computer and information tech-nology. Using this term, computer ethics can be thought of as the field that examines ethical issues distinctive to “an information society.” Here I will focus on a subset of these issues, those having to do with professional ethics, privacy, cyber crime, virtual reality, and general characteristics of the internet. 3.1 Ethics for computer professionals In an information society, a large number of individuals are educated for and employed in jobs that involve development, maintenance, buying and selling, and use of computer and information technology. Indeed, an information society is dependent on such individuals – dependent on their special knowledge and expertise and on their fulfilling correlative social responsibilities. Expertise in computing can be deployed recklessly or cautiously, used for good or ill, and the organization of information tech-nology experts into occupations/professions is an important social means of managing that expertise in ways that serve human well-being. An important philosophical issue here has to do with understanding and justifying the social responsibilities of computer experts.
eBook - PDFTechnoscientific Research
Methodological and Ethical Aspects
- Roman Z. Morawski(Author)
- 2019(Publication Date)
- De Gruyter(Publisher)
The most frequently addressed issues of computer ethics are: protection of data confidentiality, protection of intellectual prop- erty, fair access to information and reliability of operations performed on information. Both individual computers and computer networks (local, regional and global) can be used to commit common crimes, to violate privacy or to conduct espionage. They can cause damage to individuals or institutions if the software does not work as expected, because of a programmer’s error or his deliberate action; they can perform sophisticated logical and mathematical operations whose correctness cannot be checked by anybody. Computer ethics is to determine to what extent and in what sit- uations we can trust computer systems, and what restrictions should be imposed on their use. IT means can be used for performing illegal operations, being serious ethi- cal violations, which are, however, neither specific to the scientific community nor very frequent among its members; therefore, they will not be discussed here. The spectrum of IT-related ethical issues is systematically expanding with the de- velopment of IT, and it is increasingly more and more identified with the spectrum of ethical issue related to the infosphere. This is because the social impact of the IT de- velopment is becoming more and more recognised, and – consequently – ethical de- mands regarding the “ecological” management of the infosphere are more and more explicitly articulated. The relevant public debates focus on such issues as: – the IT-induced evolution of the social context in which ethical problems, unre- lated to technology, appear and are solved; – the increase in the objective scope and subjective sense of anonymity of opera- tions performed on information; – the fuzzification of responsibility and increased sense of impunity for unethical processing of information.
Index pages curate the most relevant extracts from our library of academic textbooks. They’ve been created using an in-house natural language model (NLM), each adding context and meaning to key research topics.
